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Staff Manufacturing Automation Engineer

Nokia
USA
Full-time
Senior
Onsite
Discovered 4 weeks ago
sql

Full Job Posting

Must-Have:

  • BS Degree in science or engineering (Electrical, Mechanical, Physics, or related); MS Degree preferred.
  • 5 or more years of experience designing and deploying industrial automation systems in a high-precision, high-volume manufacturing environment.
  • Hands-on experience integrating machine vision systems, including AI/deep learning-based inspection (e.g. defect classification, automated optical alignment.)
  • Demonstrated experience in robotics, motion control, or precision mechanical system design and integration.
  • Demonstrated ability to implement automation systems, from concept through qualification, integration, and production ramp.
  • Experience working directly with controls/PLC systems, machine vision software (e.g. Cognex, Keyence, or similar) and industrial communication protocols.
  • Familiarity with SQL and statistical processing software (e.g., JMP/JSL, Minitab) and SPC considerations.
  • Hands-on, curious, collaborative problem-solving approach.
  • Experience creating detailed reports, engineering documentation, presentations, and facilitating design reviews.
  • Nice-To-Have:
  • Direct experience automating advanced test and/or packaging processes for electro-optical, photonic, semiconductor, or similarly high precision products.
  • Experience with custom vision model development or training (e.g. convolutional neural networks for defect detection)
  • Demonstrated history of innovation in automation or precision manufacturing.
  • Experience supporting new product introduction (NPI) and capacity ramp alongside automation development.
  • Familiarity with statistical process control (SPC), DFM/DFA, and Six Sigma or Lean manufacturing methodologies.

Responsibilities

  • Design, develop, and implement automation systems for advanced test and packaging cells for precision electro-optical (photonic) device manufacturing.
  • Integrate AI-based machine vision systems for defect detection, precision alignment, in-line inspection, and statistical process control.
  • Support manufacturing quality and capacity requirements and continuous improvement initiatives.
  • Partner with product, test, and process engineering teams to identify opportunities that improve yield, throughput, and cycle time.
  • Support root cause investigation and resolution of complex automation equipment issues impacting production output.
  • Partner with vendors and integrators of vision hardware, robotics, and automation to develop designs and drive successful implementation.
  • Develop and maintain documentation, specifications, and validation protocols for automated systems in a regulated manufacturing environment.
  • Support capital equipment justification and capacity planning for automation investments.

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